AI & Machine Learning Solutions
Scikit-learn Development Services: built by senior engineers.
The Python library for classification, regression and clustering on tabular data.
Scikit-learn
AI & Machine Learning
Services
What we do with Scikit-learn
Production-grade Scikit-learn work from engineers who have run it under real load, with the tests and documentation to keep it maintainable.
Scikit-learn integration & development
Integrate Scikit-learn into your existing product or build new capabilities on top of it, with the architecture to scale.
Scikit-learn consulting & architecture
Senior engineers review your plans, choose the right patterns and de-risk the hard parts before code is written.
Scikit-learn support & optimization
Performance tuning, upgrades and ongoing support from engineers who have run Scikit-learn in production.
Need Scikit-learn engineers next week?
Engineers who have run Scikit-learn in production, from a company built on service, wisdom, stewardship and excellence.
Expertise
Where our AI & ML work goes deepest
Generative AI & LLMs
GPT, Claude and open-source LLM applications grounded in your data.
- OpenAI & Claude API integration
- RAG pipelines
- Prompt engineering
- Fine-tuning (LoRA/QLoRA)
- LLM guardrails & safety
Predictive Analytics & Classical ML
Models for churn, demand, fraud and outcome forecasting.
- Scikit-learn pipelines
- XGBoost/LightGBM
- Time-series forecasting
- Feature engineering
- Model interpretability (SHAP)
Computer Vision & NLP
Image recognition, object detection and text analysis systems.
- Object detection (YOLO)
- Image classification
- Text classification (BERT)
- Named entity recognition
- Sentiment analysis
MLOps & Model Deployment
Automated pipelines, versioning, A/B testing and drift monitoring.
- MLflow / Weights & Biases
- Model serving
- A/B testing infrastructure
- Model drift monitoring
- Edge deployment (TFLite)
Tech stack
Tools & technologies we use alongside
Scikit-learn rarely ships alone. These are the tools we most often pair it with.
Client spotlight: AutoBridge Systems
AutoBridge: GovTech AI Triage
The challenge
Classify more than 10,000 daily citizen communications into 50+ categories.
Our solution
Replace manual mail-room triage with an auditable AI system that routes, classifies and drafts responses in minutes rather than days.
99% classification accuracy across 50+ categories.
73% reduction in average citizen response time.
Compliance audit passed with zero findings.
Why teams pick Menna
- Production LLM deployment expertise
- Responsible AI and bias mitigation
- MLOps and model lifecycle management
- Deep domain expertise in healthcare and finance
- Data privacy-first approach
- Continuous model improvement
Scikit-learn FAQs
Yes, including prompt engineering, RAG, guardrails and cost optimization through caching and model routing.
Held-out test sets, cross-validation, confusion matrices, domain-expert review and, for LLMs, human-in-the-loop evaluation and automated regression testing.
Demographic bias audits, fairness-aware training, SHAP and LIME explainability and documented limitations, plus help with emerging AI regulation.
Yes, using TensorFlow Lite, Core ML and ONNX Runtime for on-device inference that works offline and protects privacy.
Start a conversation
Let’s solve a real problem together.
Whether you need software built, a network installed or a partner for a digital transformation program, your first conversation is with the people who will do the work.
We reply within one business day. Based in Addis Ababa, working with partners in Ethiopia and beyond.
- 2026
- Founded in Addis Ababa, Ethiopia
- 2
- Focus areas: software, networking & IT
- 4
- Core values: Service, Wisdom, Stewardship, Excellence
- 3
- Founding leadership team